I'm excited to share Mongo Explorer, an open-source tool that brings AI-powered insights to MongoDB management.
It's designed to make database exploration, optimization, and performance tuning more intuitive and efficient.
Key features:
• AI-assisted query generation and optimization
• Intelligent index suggestions with one-click creation
• Visual query performance analysis
• Schema exploration for collections and queries
• Query profiling and enhancement
• Execution plan visualization
• Export query results as JSON
Tech stack: React frontend, ASP.NET Core 8 backend, Docker for easy deployment
Why I built this:
As a developer working with MongoDB, I often found myself wishing for a tool that could provide smarter insights and automate some of the more complex optimization tasks.
Mongo Explorer is my attempt to fill that gap, making MongoDB management more accessible and powerful for both beginners and experienced DBAs.
The project is open-source, and I'm eager for feedback and contributions.
You can find it here:
https://github.com/anasjaber/mongo-explorer
I'd love to hear your thoughts:
• What features would you like to see in a MongoDB management tool?
• How do you currently handle query optimization and index management?
• Any ideas on how AI could further enhance database management?
Thanks for checking it out!
